pm4py.stats.get_frequent_trace_segments

pm4py.stats.get_frequent_trace_segments(log: EventLog | DataFrame, min_occ: int, activity_key: str = 'concept:name', timestamp_key: str = 'time:timestamp', case_id_key: str = 'case:concept:name') → Counter

Retrieves frequent trace segments (sub-sequences of activities) from an event log. Each trace segment is preceded and followed by “…”, indicating that it can be part of a larger sequence.

Parameters:

• log – Event log (EventLog or pandas DataFrame).

• min_occ (int) – Minimum number of occurrences for a trace segment to be included.

• activity_key (str) – Attribute to be used for the activity.

• timestamp_key (str) – Attribute to be used for the timestamp.

• case_id_key (str) – Attribute to be used as the case identifier.

Returns:

A Counter object mapping trace segments to their occurrence counts.

import pm4py

log = pm4py.read_xes("tests/input_data/receipt.xes")
traces = pm4py.get_frequent_trace_segments(log, min_occ=100)
print(traces)